Mark D. Hill, Marcus Fontoura, and Ricardo Bianchini. 2023. Pond: CXL-Based Memory Pooling Systems for Cloud Platforms. In Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages
但对 CXL 最感兴趣的最终用户是超大规模数据中心，他们有不同的观点。2022 年 10 月，微软和谷歌发表了一篇研究论文，标题为：Pond: CXL-Based Memory Pooling Systems for Cloud Platforms。该论文称：“我们的分析表明，通过跨越 16 个插槽的 Pond 池，我们可以将 DRAM 需求减少 7%，这对于大型云提供商来说相...
但对CXL 最感兴趣的最终用户是超大规模数据中心,他们有不同的观点。2022 年 10 月,微软和谷歌发表了一篇研究论文,标题为:Pond: CXL-Based Memory Pooling Systems for Cloud Platforms。该论文称:“我们的分析表明,通过跨越 16 个插槽的 Pond 池,我们可以将 DRAM 需求减少 7%,这对于大型云提供商来说相当于数亿...
Pond builds on the Compute Express Link (CXL) standard for load/store access to pool memory and two key insights. First, our analysis of cloud production traces shows that pooling across 8-16 sockets is enough to achieve most of the benefits. This enables a small-pool desig...
2022 年 10 月,微软和谷歌发表了一篇研究论文,标题为:Pond: CXL-Based Memory Pooling Systems for Cloud Platforms。该论文称:“我们的分析表明,通过跨越 16 个插槽的 Pond 池,我们可以将 DRAM 需求减少 7%,这对于大型云提供商来说相当于数亿美元。” 更详细的句子告诉我们:“我们的结果表明,池大小为 16 个...
[30] Huaicheng Li, Daniel S Berger, Lisa Hsu, Daniel Ernst, Pantea Zardoshti, Stanko Novakovic, Monish Shah, Samir Rajadnya, Scott Lee, Ishwar Agarwal, et al. 2023. Pond: CXL-based memory pooling systems for cloud platforms. In Proceedings of the 28th ACM International Conference on Arch...
[1] Pond: CXL-Based Memory Pooling Systems for Cloud Platforms (https://arxiv.org/abs/2203.00241) [2] TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory (https://arxiv.org/pdf/2206.02...) [3] AMD uProf:https://www.amd.com/en/develo... ...
[2] LI, H., BERGER, D. S., HSU, L., ERNST, D., ZARDOSHTI, P., NOVAKOVIC, S., SHAH, M., RAJADNYA, S.,LEE, S., AGARWAL, I., ET AL. Pond: Cxl-based memory pooling systems for cloud platforms. In Proceedings of the 28th ACM International Conference on Architectural Support...
2022 年 10 月,微软和谷歌发表了一篇研究论文,标题为:Pond: CXL-Based Memory Pooling Systems for Cloud Platforms。该论文称:“我们的分析表明,通过跨越 16 个插槽的 Pond 池,我们可以将 DRAM 需求减少 7%,这对于大型云提供商来说相当于数亿美元。” 更详细的句子告诉我们:“我们的结果表明,池大小为 16 个...
CXL 2.0 Memory Pooling Solution that provides up to 6TB pooled memory, supporting memory expansion, pooling, and sharing for greater flexibility, system compatibility, and better data transition efficiency Solution Composable AI/HPC Help experts do their work faster and better. ...